📚Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Implicit Maximum Likelihood Estimation (I-MLE) is a framework for end-to-end learning of models combining discrete exponential family distributions and differentiable neural components.
https://bit.ly/32ZEDJD
Implicit Maximum Likelihood Estimation (I-MLE) is a framework for end-to-end learning of models combining discrete exponential family distributions and differentiable neural components.
https://bit.ly/32ZEDJD
💥Hello everyone! Data Phoenix Speaking!
We are ready to present our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3F3prs8
We are ready to present our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3F3prs8
Data Phoenix
Data Phoenix Digest - ISSUE 39
Data Phoenix team looking for speakers, introduction to clustering in Python with PyCaret, OCR passports with OpenCV and Tesseract, visualizing decision trees with Pybaobabdt, Pix2Pix, PP-ShiTu, FuseDream, PartImageNet, jobs, and more ...
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Data Phoenix pinned «💥Hello everyone! Data Phoenix Speaking! We are ready to present our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻 https://bit.ly/3F3prs8»
⚡️Hello everyone!
We hope that your weekend is going great!
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think 😉
1) AI / Data Science Engineer - Reply (Kyiv, Dnipro, Remote)
https://bit.ly/3HPIVCl
2) Senior/Middle CV/ML Engineer - Apostera (Odesa, Kyiv, Remote)
https://bit.ly/3zCuFtG
3) Data Scientist - ROZETKA (Remote)
https://bit.ly/3F4RaZd
4) Machine Learning Architect - SoftServe (Odesa, Kyiv, Lviv)
https://bit.ly/3qT37fE
5) Data Scientist - Snap (Odesa, Kyiv)
https://bit.ly/3q6KcyX
📌Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info for details. We'll be proud to help your business thrive!
We hope that your weekend is going great!
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think 😉
1) AI / Data Science Engineer - Reply (Kyiv, Dnipro, Remote)
https://bit.ly/3HPIVCl
2) Senior/Middle CV/ML Engineer - Apostera (Odesa, Kyiv, Remote)
https://bit.ly/3zCuFtG
3) Data Scientist - ROZETKA (Remote)
https://bit.ly/3F4RaZd
4) Machine Learning Architect - SoftServe (Odesa, Kyiv, Lviv)
https://bit.ly/3qT37fE
5) Data Scientist - Snap (Odesa, Kyiv)
https://bit.ly/3q6KcyX
📌Looking to feature your open positions in the digest? Kindly reach out to us at editor@dataphoenix.info for details. We'll be proud to help your business thrive!
💡Hyperparameter Tuning of Neural Networks with Optuna and PyTorch
In this article, you’ll learn how to tune hyperparameters in neural networks in PyTorch and how to find that perfect neural networks model with the help of Optuna.
https://bit.ly/3t7imnX
In this article, you’ll learn how to tune hyperparameters in neural networks in PyTorch and how to find that perfect neural networks model with the help of Optuna.
https://bit.ly/3t7imnX
Towards Data Science
Hyperparameter Tuning of Neural Networks with Optuna and PyTorch | Towards Data Science
How to find that perfect neural networks model for our use case with the help of Optuna
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🔥Hello friends!
We hope your Sunday is going great and you are ready for the upcoming week! But first things first, here's your weekly dose of positivity🤗
https://bit.ly/3f4eJa3
We hope your Sunday is going great and you are ready for the upcoming week! But first things first, here's your weekly dose of positivity🤗
https://bit.ly/3f4eJa3
💥Data Phoenix team will renew our "The A-Z of Data" webinars at the end of January
We're looking for speakers to collaborate on these activities. If you are looking for a platform with a relevant audience and you have experience and knowledge to share, we'll be glad to see you among the speakers. If you are our candidate or know someone who might be interested, let us know by email at editor@dataphoenix.info
https://bit.ly/3HQQ05k
We're looking for speakers to collaborate on these activities. If you are looking for a platform with a relevant audience and you have experience and knowledge to share, we'll be glad to see you among the speakers. If you are our candidate or know someone who might be interested, let us know by email at editor@dataphoenix.info
https://bit.ly/3HQQ05k
⚡️Hello everyone! How are you feeling about starting a new week? Today, let us introduce you, Kai-Fu Lee. He is the Chairman and CEO of Sinovation Ventures, a leading technology venture capital focusing on developing the next generation of Chinese high-tech companies.
Prior to founding Sinovation in 2009, Dr. Lee was the President of Google China. Previously, he held executive positions at Microsoft, SGI, and Apple.
Dr. Lee founded Microsoft Research China, which was named the hottest research lab by MIT Technology Review. Later renamed Microsoft Research Asia, this institute trained the great majority of AI leaders in China, including CTOs or AI heads at Baidu, Tencent, Alibaba, Lenovo, Huawei, and Haier.
While with Apple, Dr. Lee led AI projects in speech and natural language, which have been featured on Good Morning America on ABC Television and the front page of Wall Street Journal.
https://bit.ly/3K7F5GL
Prior to founding Sinovation in 2009, Dr. Lee was the President of Google China. Previously, he held executive positions at Microsoft, SGI, and Apple.
Dr. Lee founded Microsoft Research China, which was named the hottest research lab by MIT Technology Review. Later renamed Microsoft Research Asia, this institute trained the great majority of AI leaders in China, including CTOs or AI heads at Baidu, Tencent, Alibaba, Lenovo, Huawei, and Haier.
While with Apple, Dr. Lee led AI projects in speech and natural language, which have been featured on Good Morning America on ABC Television and the front page of Wall Street Journal.
https://bit.ly/3K7F5GL
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📌Introduction to Clustering in Python with PyCaret
PyCaret is an open-source, low-code ML library in Python that automates ML workflows. Let’s learn how you can enable and do unsupervised clustering tasks in Python with it.
https://bit.ly/3HW0OiZ
PyCaret is an open-source, low-code ML library in Python that automates ML workflows. Let’s learn how you can enable and do unsupervised clustering tasks in Python with it.
https://bit.ly/3HW0OiZ
Medium
Introduction to Clustering in Python with PyCaret
A step-by-step, beginner-friendly tutorial for unsupervised clustering tasks in Python using PyCaret
Hello friends👋🏻
Data Phoenix speaking! Our team has great news to share! We want to be close to you as much as possible, that’s why we created Slack chat where we can talk to you 24/7, you can text what you expect to see on our social media, what would you like to have more or less, also you can find friends who are sharing the same interests as you. Isn’t it amazing? Tap on the link and let's have some fun!
https://bit.ly/3ngiU7b
Data Phoenix speaking! Our team has great news to share! We want to be close to you as much as possible, that’s why we created Slack chat where we can talk to you 24/7, you can text what you expect to see on our social media, what would you like to have more or less, also you can find friends who are sharing the same interests as you. Isn’t it amazing? Tap on the link and let's have some fun!
https://bit.ly/3ngiU7b
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Data Phoenix pinned «Hello friends👋🏻 Data Phoenix speaking! Our team has great news to share! We want to be close to you as much as possible, that’s why we created Slack chat where we can talk to you 24/7, you can text what you expect to see on our social media, what would…»
📚PP-ShiTu: A Practical Lightweight Image Recognition System
PP-ShiTu is a practical lightweight image recognition system that uses metric learning, deep hash, knowledge distillation, and model quantization, to improve accuracy and inference speed.
https://bit.ly/3fb1sMS
PP-ShiTu is a practical lightweight image recognition system that uses metric learning, deep hash, knowledge distillation, and model quantization, to improve accuracy and inference speed.
https://bit.ly/3fb1sMS
💡Visualizing Decision Trees with Pybaobabdt
In this article, you’ll learn how to enable decision tree visualization and model interpretation. It comes with a free package of solutions for all tasks you may need to accomplish.
https://bit.ly/3qj7pOr
In this article, you’ll learn how to enable decision tree visualization and model interpretation. It comes with a free package of solutions for all tasks you may need to accomplish.
https://bit.ly/3qj7pOr
Medium
Visualizing Decision Trees with Pybaobabdt
An open-source package for decision tree visualization and model interpretation
📚AI and the Everything in the Whole Wide World Benchmark
In this paper, the authors explore the limits of AI benchmarks to reveal the construct validity issues in their framing as the functionally "general" broad measures of intended progress.
https://bit.ly/3qlqO10
In this paper, the authors explore the limits of AI benchmarks to reveal the construct validity issues in their framing as the functionally "general" broad measures of intended progress.
https://bit.ly/3qlqO10
💥Hello friends!
We hope that your week is going well so far. Data Phoenix team wants to remind you about our weekly newsletter which is coming, as always, tomorrow! Fill in your email and get instant access to all the AI/ML goodies in one go. Looking forward to having you as one of our amazing subscribers!
https://bit.ly/3ryvhgv
We hope that your week is going well so far. Data Phoenix team wants to remind you about our weekly newsletter which is coming, as always, tomorrow! Fill in your email and get instant access to all the AI/ML goodies in one go. Looking forward to having you as one of our amazing subscribers!
https://bit.ly/3ryvhgv
Data Phoenix
Data Phoenix is your best friend in learning and growing in the data world! We publish digest, organize events and help expand the frontiers of your knowledge in ML, CV, NLP, and other aspects of AI.
📌Pix2pix: Key Model Architecture Decisions
Pix2Pix is a conditional GAN that uses images and labels to generate images. In this article, you'll learn about its architectures and explore the examples on Pix2Pix.
https://bit.ly/3trg7fi
Pix2Pix is a conditional GAN that uses images and labels to generate images. In this article, you'll learn about its architectures and explore the examples on Pix2Pix.
https://bit.ly/3trg7fi
neptune.ai
Pix2pix: Key Model Architecture Decisions - neptune.ai
Generative Adversarial Networks or GANs is a type of neural network that belongs to the class of unsupervised learning. It is used for the task of deep generative modeling. In deep generative modeling, the deep neural networks learn a probability distribution…
💥Hello everyone! Data Phoenix Speaking!
We are ready to present our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3Fm499e
We are ready to present our weekly issue of the digest! And it is already waiting for you on our website! Tap on the link and feel free to subscribe 👇🏻
https://bit.ly/3Fm499e
Data Phoenix
Data Phoenix Digest - ISSUE 40
Data Phoenix invites everyone to Slack chat, the birth of Albumentations, neural network from scratch, Self-Supervised Learning from 100 million medical images, a general language assistant as a laboratory for alignment, NL-Augmenter, projects, jobs, and…
⚡️Hello everyone!
We hope that your weekend is going great!
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think 😉
1) Senior ML Engineer for RnD Team - Parimatch Tech (Kyiv, Remote)
https://bit.ly/3FwGaUX
2) Applied Research Scientist, Machine Learning - Medium (US - Remote)
https://bit.ly/3ri3Rva
3) Data (DataScience) Senior - Capgemini Engineering Ukraine (Odesa, Kyiv, Remote)
https://bit.ly/3GAtptK
4) AI / Data Science Engineer - Reply (Kyiv, Dnipro, Remote)
https://bit.ly/3ri3S2c
5) Sr. Data Engineer - HashiCorp (US - Remote)
https://bit.ly/3npRfkw
For the other five vacancies check out our digest 👉🏻
https://bit.ly/3ri3SPK
We hope that your weekend is going great!
Data Phoenix prepared for you the list of free vacancies for the week. Kindly check it out and let us know what you think 😉
1) Senior ML Engineer for RnD Team - Parimatch Tech (Kyiv, Remote)
https://bit.ly/3FwGaUX
2) Applied Research Scientist, Machine Learning - Medium (US - Remote)
https://bit.ly/3ri3Rva
3) Data (DataScience) Senior - Capgemini Engineering Ukraine (Odesa, Kyiv, Remote)
https://bit.ly/3GAtptK
4) AI / Data Science Engineer - Reply (Kyiv, Dnipro, Remote)
https://bit.ly/3ri3S2c
5) Sr. Data Engineer - HashiCorp (US - Remote)
https://bit.ly/3npRfkw
For the other five vacancies check out our digest 👉🏻
https://bit.ly/3ri3SPK
📚PartImageNet: A Large, High-Quality Dataset of Parts
PartImageNet is a large, high-quality dataset with part segmentation annotations. It consists of 158 classes from ImageNet with approximately 24000 images with non-rigid, articulated objects.
https://bit.ly/33CH2Ki
PartImageNet is a large, high-quality dataset with part segmentation annotations. It consists of 158 classes from ImageNet with approximately 24000 images with non-rigid, articulated objects.
https://bit.ly/33CH2Ki
🔥Hello everyone!
We hope your Sunday is going great and you are ready for the upcoming week! But first things first, here's your weekly dose of positivity🤗
https://bit.ly/3nuMw0Z
We hope your Sunday is going great and you are ready for the upcoming week! But first things first, here's your weekly dose of positivity🤗
https://bit.ly/3nuMw0Z
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💥Happy Monday everyone! Today we want to introduce you Allie Miller
Allie is the Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon (AWS). Allie has consulted in AI for the nation’s top VC firms, addressed the European Commission, and has spoken at technology companies and conferences across the world.
Before, Allie has been the youngest-ever woman to create an artificial intelligence product at IBM. She was spearheading large-scale product development across computer vision, conversation, data, and regulation.
Allie spoke about AI and field diversity around the world, addressed the European Commission, drafted foreign AI strategies, and created eight guidebooks to educate businesses on how to build successful AI projects.
Allie is also the Founder of The AI Pipeline to build stronger diversity in ML, co-founder of Girls of the Future, a national ambassador for the American Association for the Advancement of Science.
https://bit.ly/3fNgBEN
Allie is the Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon (AWS). Allie has consulted in AI for the nation’s top VC firms, addressed the European Commission, and has spoken at technology companies and conferences across the world.
Before, Allie has been the youngest-ever woman to create an artificial intelligence product at IBM. She was spearheading large-scale product development across computer vision, conversation, data, and regulation.
Allie spoke about AI and field diversity around the world, addressed the European Commission, drafted foreign AI strategies, and created eight guidebooks to educate businesses on how to build successful AI projects.
Allie is also the Founder of The AI Pipeline to build stronger diversity in ML, co-founder of Girls of the Future, a national ambassador for the American Association for the Advancement of Science.
https://bit.ly/3fNgBEN